Bibliographic record
Abstract
This article examines the foreign experience of bringing to justice for domestic violence. Domestic violence definitely falls under the violation of a large number of internationally recognized human rights that the State is obliged to defend and protect: the right to life and physical integrity, the right not to be the object of bullying or cruel treatment, inhuman or degrading treatment, the right to equal protection from the law and freedom from discrimination based on gender and others. As we can see, the origins of gender inequality were determined primarily by cultural and religious factors, as well as the peculiarities of the legal system in different countries. As a result, domestic violence has been recognized for granted almost all over the world for a long time and for a long time, and in some sources of social norms it was even recorded in legislative forms. Violence against women and domestic violence can no longer be considered a private matter, and that States must take a firm stand and take measures to prevent violence, protect victims and punish perpetrators. This issue has become extremely relevant at the present time, when the Republic of Kazakhstan is becoming an almost full-fledged participant in global integration processes, supporting the idea of prioritizing the rights and freedoms of man and citizen. The paper provides a comparative analysis of the legislation of the United States of America, Canada, Germany, Austria and France. It is concluded that the positive foreign experience in the field of prevention of domestic violence, which can be applied in Kazakhstan, should be: the construction and creation of social institutions whose activities are aimed at preventing domestic violence (USA) - the need to introduce a system of support for social initiatives in the field of prevention of domestic violence (USA) - the creation on the basis of the National Academy of Sciences of the Republic Kazakhstan Institute for Research on Domestic Violence (Canada); grouping of measures aimed at preventing domestic violence by group affiliation (France); the need to assess the effectiveness of measures applied in the field of prevention of domestic violence (Germany).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".